Abstract
We consider a method to improve the standard RX algorithm for point target detection. In this algorithm, we weight the results from an anti-mean or anti-median filter by dividing by the standard deviation of the local environment of each suspect pixel. In this way, we lower the false alarms caused by edge points. The results of each band are then combined. Results will be shown for visible and SWIR hyperspectral imagery.
| Original language | English |
|---|---|
| Pages (from-to) | 32-40 |
| Number of pages | 9 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5159 |
| DOIs | |
| State | Published - 3 May 2004 |
| Event | Imaging Spectrometry IX - San Diego, CA, United States Duration: 6 Aug 2003 → 7 Aug 2003 |
Keywords
- Hyperspectral imagery
- Point target detection
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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